脑机接口与脑电信号处理
By using theory and methods of statistical learning and information geometry, such as PCA/ICA, NMF, NTF (Nonnegative Tensor Factorization), we are
- To investigate EEG noise reduction, event-related potentials, pattern analysis for imaginary motion evoked potentials and vigilance pattern analysis.
- To study the spatial-temporal characteristics of evoked potentials and their dynamics.
- To develop pattern classification methods for evoked potentials, imaginary motion potentials and vigilance
- To design EEG based vigilance analysis system and brain-computer interaction systems
演示:
计算机视觉
我们目前的研究内容包括 :
- Computational Models For Visual Selective Attention
- Visual Information Representation
- Global Visual Feature Analysis
- Object Detection
- Age Estimation And Gender Classification
- Face Recognition
演示:
语音处理
我们目前的研究内容包括 :
- Blind Speech Separation
- Blind Deconvolution
- Speech Feature Analysis
- Computational Auditory Scene Analysis
- Speech Recognition
- Speaker Recognition
- Sound Localization
